Engineering Failure Knowledge Management And Early Warning Research

The engineering failure knowledge management and early warning research has just been started recently. Under the support of National Natural Science Fundation Item: Failure theory method and construction engineering failure examination and early warning research (70171049), the text studies failure knowledge management and engineering failure early warning. This research is of great importance both in theory and in practice.In the text, the author summarized the present research of knowledge management and discussed the process of it, then analyzed the production, sharing, application and innovation of knowledge in the process. The nature of the process is to spiral. The author pointed out that the construction industry knowledge can be divided into domain knowledge, organization knowledge and event knowledge according to the knowledge category; or the best practical knowledge, failure knowledge and other knowledge according to the origin,among which the best practical knowledge and failure knowledge are the key points of constuction industry knowledge management. Considering the characteristics of construction industry, a strategy of constuction industry knowledge management was put forward, with the establishment of the study mechanism being the foundation, the management of the best practical knowledge and failure knowledge being the two key points, the industry govern, the employee group and IT technique promoter being the three participators.The author also analyzed methods of establishing a knowledge base and constitutions of knowledge base system. Researches on expressions of knowledge were carried on, mainly discussing knowledge expression methods for neural network and its application. Based on neural network,the expert system accomplished the purpose that to combine expression,storage with reasoning, and it's self-organizing, self-learning and self-adapting. We get a good result when using neural network for knowledge expression and possession in construction material estimation.This text analyzed the characters of conventional method of summarizing experience and knowledge of constraction industry, then presumed characters of a perfect learning method. A method was established based on events with controlling process as the key. This method transit from the information layer to the knowledge layer by analyzing, learning and reengineering. It helps to accumulate experience and knowledge gradually in daily management and to form a learning circle.The text studied design principles, characters, functions, structure and evaluation system of knowledge management system, and adopted the layer analysis method to evaluate enterprise knowledge management system. The author suggested that construction enterprises of China establish suitable knowledge management system, they ought to erect a position for knowledge director , improve the structure of the organization,establish an information-based network,and change the corporation culture. In the text,categories of failure and its cause were introduced. Index and influencing factors of engineering failure werw involved. The process of failure experience turning into knowledge and the process of establishing failure knowledge base were discussed. The data form structure of failure knowledge base and renew process of knowledge based on PDCA were designed.The author introduced engineering failure early warning system, studied fuzzy neural network and its application in deep pit deformation control. A fuzzy neural network modle was set up, aiming to forecast deep pit deformation. The result showed that the accuracy of this method may satisfy practical projects.